Triple

T8435188
Position Surface form Disambiguated ID Type / Status
Subject Armenia under Abbasid Caliphate E199209 entity
Predicate hasPart P35 FINISHED
Object Ayrarat E730928 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ayrarat | Statement: [Armenia under Abbasid Caliphate, hasPart, Ayrarat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayrarat
Context triple: [Armenia under Abbasid Caliphate, hasPart, Ayrarat]
  • A. Ayrarat chosen
    Ayrarat was the central and most important province of ancient Armenia, encompassing the Ararat plain and serving as a key political and cultural heartland.
  • B. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • C. Ayvansaray
    Ayvansaray is a historic neighborhood on the Golden Horn in Istanbul, known for its old city walls, traditional wooden houses, and rich Byzantine and Ottoman heritage.
  • D. Arak
    Arak is a major industrial city in central Iran known for its manufacturing sector and strategic economic importance.
  • E. Hashtgerd
    Hashtgerd is a city in northern Iran that serves as an important urban center and gateway within Alborz Province, located west of Tehran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a905ac8190b1015e1da9b16938 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dc163488190a53d8696fdba94b5 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:08 p.m.